How to use sarkerlab/SocBERT-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sarkerlab/SocBERT-final")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sarkerlab/SocBERT-final") model = AutoModelForMaskedLM.from_pretrained("sarkerlab/SocBERT-final", device_map="auto")
https://huggingface.co/sarkerlab/SocBERT-final/resolve/refs%2Fpr%2F1/tokenizer.json
hf download hf://sarkerlab/SocBERT-final@refs/pr/1/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/sarkerlab/SocBERT-final/resolve/refs%2Fpr%2F1/tokenizer.json
